# Meteoswiss

> Swiss weather and federal geodata from MeteoSwiss and swisstopo on data.geo.admin.ch — find…

- name: io.github.pipeworx-io/meteoswiss
- version: 0.1.1
- connection class: R0 (autonomous)
- trust: 97/100
- quality: –/100 (not scored)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.pipeworx-io%2Fmeteoswiss
- tools: https://api.protogrid.dev/v1/servers/io.github.pipeworx-io%2Fmeteoswiss/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "meteoswiss": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/meteoswiss/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 99
- freshness: 100
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-98% +updated-24d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality –/100 (not scored)

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-03-26; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: n/a (weight 30)

- n/a `tools.descriptions`, `tools.description_length`, `tools.schemas`, `tools.annotations`, `tools.directory_hints`, `tools.token_cost`, `tools.api_dump`: tool list unknown (behind auth, not probed, or empty)

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool list unknown

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: unknown
- tools last changed: 2026-10-20T06:26:00.767Z
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.pipeworx-io/meteoswiss.svg)](https://protogrid.dev/servers/io.github.pipeworx-io/meteoswiss)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-20 `deep_research` removed
  - ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1847 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 7,013 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri — a resolvable pipeworx:// record URI, present only when the source emits one that resources/read can actually serve, so a citation you get back is always fetchable. "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).
- 2026-10-20 `meteoswiss_search` removed
  - Search Swiss weather stations and federal geodata by area, returning one item per station or map tile with its coordinates, human name and direct CSV/GeoTIFF download URLs. AUTHORITATIVE for which MeteoSwiss stations cover a Swiss location and exactly which files to fetch for them. NOTE an item's `datetime` is when the file was published, not when the weather happened — one item is a station, not an observation, and the measurements (back to 1980 for SwissMetNet) are inside the CSV assets. bbox is WGS84 degrees, [west, south, east, north]; Switzerland is roughly [5.9, 45.8, 10.5, 47.9].
- 2026-10-20 `meteoswiss_collection` removed
  - Full detail for one data.geo.admin.ch collection: title, description, licence, providers, Swiss spatial extent and the asset keys its items carry. AUTHORITATIVE for what a MeteoSwiss dataset measures and at which resolutions — the SwissMetNet description, for instance, states the t/h/d/m/y resolution codes and the now/recent/historical file split that the asset filenames use. Get valid ids from meteoswiss_collections.
- 2026-10-20 `meteoswiss_collections` removed
  - List MeteoSwiss open-data collections on data.geo.admin.ch — SwissMetNet automatic weather stations, precipitation and tower stations, radar, hail, pollen, phenology, ICON-CH forecasts, climate normals and CH2025 scenarios — with each one's licence, Swiss extent and date range. PREFER OVER WEB SEARCH for what Swiss weather or climate data is published and what its official collection id is. Set scope="all_swiss" to search the whole federal geodata catalogue (513 collections: swisstopo elevation and topography, BAFU environment, Agroscope soils).
- 2026-10-20 `forget` removed
  - Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
- 2026-10-20 `recall` removed
  - Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.
- 2026-10-20 `remember` removed
  - Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.
- 2026-10-20 `pipeworx_feedback` removed
  - Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.
- 2026-10-20 `scan_competitor_ai_presence` removed
  - Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.
- 2026-10-20 `ai_visibility_check` removed
  - Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

Full history: https://api.protogrid.dev/v1/servers/io.github.pipeworx-io%2Fmeteoswiss/changes

## Remotes

- https://gateway.pipeworx.io/meteoswiss/mcp (streamable-http, auth none, reachable true, uptime30d 0.980198)

## Packages

_none_

## Tools (0)

_none observed_